Precision at Scale: Mastering Targeted UI Validation with Regions Only
The Regions Only match level solves the “noisy neighbor” problem by isolating assertions for precision at scale with no false positives.
Webinar Recap
File Upload Testing Without the Broken Dependencies or Manual Workarounds
Learn how Autonomous eliminates local path dependencies and validates post-upload UI state with cloud-managed file upload test automation.
New Features to Scale Reliability in the Agentic SDLC
The Agentic SDLC shifts the bottleneck from code production to verification. Learn how Applitools provides a deterministic quality gate with Eyes MCP and Autonomous Troubleshooting to fix the “flakiness loop” and reduce test maintenance costs.
The Agentic SDLC: Why Autonomous Testing is the New Strategic Core
AI is reshaping the software development lifecycle into a connected, agent-driven system. As development accelerates, testing is evolving alongside it—becoming more integrated, continuous, and essential to maintaining quality at scale.
What Test Execution Demands That Generative AI Can’t Guarantee
Generative AI excels at creating tests—but execution demands repeatability and trust. Learn why deterministic approaches matter for reliable test automation.
AI Testing in 2026: Why Signal, Trust, and Intentional Choices Matter More Than Ever
AI is reshaping software testing—but more AI often means more noise. Learn how engineering leaders can build trust, reduce flakiness, and scale test automation.
AI Testing in Regulated Environments: Smarter Testing Starts With Stability, Not More Code
Regulated teams face growing pressure to deliver quality at speed while maintaining strict oversight. Learn how a deterministic, Visual AI-driven approach reduces maintenance, increases reliability, and helps teams preserve audit-ready evidence.
Test Maintenance at Scale: How Visual AI Cuts Review Time and Flakiness
Reduce flakiness, speed up reviews, and see how teams like Peloton cut maintenance time by 78% using Visual AI.
Accelerate Test Creation and Coverage with Code and No-Code Speed Runs
Testing moves fast. See how teams use code and no-code speed runs to scale coverage, reduce maintenance, and deliver faster feedback with AI.
Why the Future of Test Automation is Code AND No-Code
The future of test automation isn’t about choosing code or no-code—it’s about combining both. Learn how this balanced approach reduces bottlenecks, speeds regression testing, and empowers QA teams to scale quality with confidence.
How Modern Testing Tools Use AI to Bridge Teams and Simplify QA
Discover why the strongest test automation strategies don’t pit code against no-code. Learn how integrating both approaches reduces bottlenecks, speeds up regression testing, and empowers teams to deliver quality software faster.
Top 5 Webinars of 2025: AI-Driven Testing, No-Code Strategies, and Real ROI
Discover the top 5 Applitools webinars of 2025 covering AI-driven testing, no-code strategies, and ROI-focused automation. Watch on-demand and learn Adam Carmi, Cory House, Eric Terry, and more.